To compare and evaluate multiple models or datasets TC2, our visualizations are designed to display such configurations concurrently G2.
Typically, it is not a common use case to compare large numbers (\(>5\) ) of configurations.
However, we still employ a run selection, which is similar to other TensorBoard plugins, and can be seen in fig:application D.
Thus, if many configurations are loaded, users can always select the subset they are interested in for keeping the visual comparison focused.
Our visualization design adapts TensorBoard's concept of assigning colors to individual runs, which is supported by perception research [1]}, [2]}.
Here, the color value for a configuration matches the color values of runs from other TensorBoard plugins, which might be used in combination with our correlation analysis.
fig:application shows how our visualizations (C-E) scale to multiple such configurations.
